Nearly one-third of drugs in development ultimately fail during clinical trials because the side effects are just too severe. Researchers at Cornell University have developed a promising new AI tool that better predicts which drug candidates are likely to be too toxic -- and it's based on the Oakland A's winning strategy, immortalised in the blockbuster book and movie Moneyball.